Update README.md

README.md

@@ -27,7 +27,9 @@ They have VAEEncoder.mlmodelc bundles that allow Image2Image to operate correctl
 
 The sizes noted for all model type inputs/outputs are WIDTH x HEIGHT.  A 512x768 is "portrait" orientation and a 768x512 is "landscape" orientation.
 
-There is also a "MISC" folder at this repo that has text files with some notes and a screencap of my directory structure.  These are provided for those who want to convert models themselves and/or run the models with a SwiftCLI.  The notes are not perfect, and may be out of date if any of the Python or CoreML packages referenced have been updated recently.  You can open a Discussion here if you need help with any of the "MISC" items. 
+There is also a "MISC" folder at this repo that has text files with some notes and a screencap of my directory structure.  These are provided for those who want to convert models themselves and/or run the models with a SwiftCLI.  The notes are not perfect, and may be out of date if any of the Python or CoreML packages referenced have been updated recently.  You can open a Discussion here if you need help with any of the "MISC" items.
+
+**NOTE: At present, it appears that the python_coreml_stable_diffusion  package from ml-stable-diffusion 6.3 is the latest version that will convert ControlNet models that work correctly.  Conversions with python_coreml_stable_diffusion 1.0.0, which is from ml-stable-diffusion 7.0b1 or 7.0b2, will throw errors when used.**
 
 For command line use, the "MISC" notes cover setting up a miniconda3 environment.  If you are using the command line, please read the notes concerning naming and placement of your ControlNet model folder.  Briefly, they will need to go inside a "controlnet" folder that you placed inside your base model folder.  You'll need a "controlnet" folder inside each base model folder, or a symlink named "controlnet" pointing to a central folder with all your ControlNet models inside it.